| 2020 | A Predictive Optimization Framework for Hierarchical Demand Matching. | Naoto Ohsaka, Tomoya Sakai, Akihiro Yabe |
| 2020 | Temporal Graph Kernels for Classifying Dissemination Processes. | Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel |
| 2020 | Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. | Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar |
| 2020 | PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. | Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne |
| 2020 | A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. | Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2020 | Lag-Aware Multivariate Time-Series Segmentation. | Shigeru Maya, Akihiro Yamaguchi, Kaneharu Nishino, Ken Ueno |
| 2020 | Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. | Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou |
| 2020 | Improved mixing time for | Ryuta Matsuno, Aristides Gionis |
| 2020 | Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. | Charles H. Martin, Michael W. Mahoney |
| 2020 | BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. | Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu |
| 2020 | Efficient and Effective Graph Convolution Networks. | Siwu Liu, Ji Hwan Park, Shinjae Yoo |
| 2020 | An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction. | Guiliang Liu, Xu Li, Mingming Sun, Ping Li |
| 2020 | Knowledge guided diagnosis prediction via graph spatial-temporal network. | Yang Li, Buyue Qian, Xianli Zhang, Hui Liu |
| 2020 | Filling Missing Values on Wearable-Sensory Time Series Data. | Suwen Lin, Xian Wu, Gonzalo J. Martnez, Nitesh V. Chawla |
| 2020 | Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph? | Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu |
| 2020 | Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. | Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee |
| 2020 | Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions. | John Boaz Lee, Xiangnan Kong, Constance M. Moore, Nesreen K. Ahmed |
| 2020 | Meta-Learning for Size and Fit Recommendation in Fashion. | Julia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, Reza Shirvany |
| 2020 | HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks. | Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer |
| 2020 | Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the | Ricky Laishram, Ahmet Erdem Sariyce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan |
| 2020 | Well-calibrated and specialized probability estimation trees. | Ulf Johansson, Tuwe Lfstrm |
| 2020 | Multiplex Memory Network for Collaborative Filtering. | Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi |
| 2020 | On the Information Unfairness of Social Networks. | Zeinab S. Jalali, Weixiang Wang, Myunghwan Kim, Hema Raghavan, Sucheta Soundarajan |
| 2020 | An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables. | Fattaneh Jabbari, Gregory F. Cooper |
| 2020 | SSNN: Sentiment Shift Neural Network. | Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi |